Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region

Even with advances in climate modeling, meteorological impact assessment remains elusive, and decision-makers are forced to operate with potentially malinformed predictions. In this article, we investigate the dependence of the Weather Research and Forecasting (WRF) model simulated precipitation and...

Full description

Bibliographic Details
Main Authors: Ashish Sharma, Alan F. Hamlet, Harindra J.S. Fernando
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/10/5/266
_version_ 1811333102147993600
author Ashish Sharma
Alan F. Hamlet
Harindra J.S. Fernando
author_facet Ashish Sharma
Alan F. Hamlet
Harindra J.S. Fernando
author_sort Ashish Sharma
collection DOAJ
description Even with advances in climate modeling, meteorological impact assessment remains elusive, and decision-makers are forced to operate with potentially malinformed predictions. In this article, we investigate the dependence of the Weather Research and Forecasting (WRF) model simulated precipitation and temperature at 12- and 4-km horizontal resolutions and compare it with 32-km NARR data and 1/16th-degree gridded observations for the Midwest U.S. and Great Lakes region from 1991 to 2000. We used daily climatology, inter-annual variability, percentile, and dry days as metrics for inter-comparison for precipitation. We also calculated the summer and winter daily seasonal minimum, maximum, and average temperature to delineate the temperature trends. Results showed that NARR data is a useful precipitation product for mean warm season and summer climatological studies, but performs extremely poorly for winter and cold seasons for this region. WRF model simulations at 12- and 4-km horizontal resolutions were able to capture the lake-effect precipitation successfully when driven by observed lake surface temperatures. Simulations at 4-km showed negative bias in capturing precipitation without convective parameterization but captured the number of dry days and 99<sup>th</sup> percentile precipitation extremes well. Overall, our study cautions against hastily pushing for increasingly higher resolution in climate studies, and highlights the need for the careful selection of large-scale boundary forcing data.
first_indexed 2024-04-13T16:47:47Z
format Article
id doaj.art-d70c06d4fdd740fca33aaca9bccf15a6
institution Directory Open Access Journal
issn 2073-4433
language English
last_indexed 2024-04-13T16:47:47Z
publishDate 2019-05-01
publisher MDPI AG
record_format Article
series Atmosphere
spelling doaj.art-d70c06d4fdd740fca33aaca9bccf15a62022-12-22T02:39:02ZengMDPI AGAtmosphere2073-44332019-05-0110526610.3390/atmos10050266atmos10050266Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes RegionAshish Sharma0Alan F. Hamlet1Harindra J.S. Fernando2Climate and Atmospheric Science Section, Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, 2204 Griffith Dr., Champaign, IL 61820, USADepartment of Civil &amp; Environmental Engineering and Earth Sciences (CEEES), University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USADepartment of Civil &amp; Environmental Engineering and Earth Sciences (CEEES), University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USAEven with advances in climate modeling, meteorological impact assessment remains elusive, and decision-makers are forced to operate with potentially malinformed predictions. In this article, we investigate the dependence of the Weather Research and Forecasting (WRF) model simulated precipitation and temperature at 12- and 4-km horizontal resolutions and compare it with 32-km NARR data and 1/16th-degree gridded observations for the Midwest U.S. and Great Lakes region from 1991 to 2000. We used daily climatology, inter-annual variability, percentile, and dry days as metrics for inter-comparison for precipitation. We also calculated the summer and winter daily seasonal minimum, maximum, and average temperature to delineate the temperature trends. Results showed that NARR data is a useful precipitation product for mean warm season and summer climatological studies, but performs extremely poorly for winter and cold seasons for this region. WRF model simulations at 12- and 4-km horizontal resolutions were able to capture the lake-effect precipitation successfully when driven by observed lake surface temperatures. Simulations at 4-km showed negative bias in capturing precipitation without convective parameterization but captured the number of dry days and 99<sup>th</sup> percentile precipitation extremes well. Overall, our study cautions against hastily pushing for increasingly higher resolution in climate studies, and highlights the need for the careful selection of large-scale boundary forcing data.https://www.mdpi.com/2073-4433/10/5/266regional climate modelingclimatologyclimate extremesWRF modeltemperatureprecipitation
spellingShingle Ashish Sharma
Alan F. Hamlet
Harindra J.S. Fernando
Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
Atmosphere
regional climate modeling
climatology
climate extremes
WRF model
temperature
precipitation
title Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
title_full Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
title_fullStr Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
title_full_unstemmed Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
title_short Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
title_sort lessons from inter comparison of decadal climate simulations and observations for the midwest u s and great lakes region
topic regional climate modeling
climatology
climate extremes
WRF model
temperature
precipitation
url https://www.mdpi.com/2073-4433/10/5/266
work_keys_str_mv AT ashishsharma lessonsfromintercomparisonofdecadalclimatesimulationsandobservationsforthemidwestusandgreatlakesregion
AT alanfhamlet lessonsfromintercomparisonofdecadalclimatesimulationsandobservationsforthemidwestusandgreatlakesregion
AT harindrajsfernando lessonsfromintercomparisonofdecadalclimatesimulationsandobservationsforthemidwestusandgreatlakesregion